🤖 13: Agents

Build AI systems that can reason, use tools, keep state, and complete multi-step tasks.

📚 Module Map

1. What is an agent?
2. Agent architectures
3. Tool calling
4. Planning loops
5. Memory
6. Multi-agent systems
7. 12-Factor Agents

🎯 Learning Goal

By the end of this module, you should understand how agents differ from plain LLM calls, how they use tools and memory, how multi-step execution works, and what production-grade agent design looks like.

🗺️ Recommended Order

• Start with What is an agent?
• Then read Agent architectures
• Continue with Tool calling
• Then study Planning loops
• Add state with Memory
• Scale coordination with Multi-agent systems
• Finish with 12-Factor Agents

🔗 Relationship to the main note

This folder is a structured companion to 03-Advanced/13-Agents.md, breaking the topic into smaller learning units.

✅ Outcome

After completing this folder, you can return to 03-Advanced/13-Agents.md with a cleaner mental model of the full topic.

#agents #advanced #ai-systems